Melalui kegiatan KKM-Tematik desa Munungkerep kita dituntut untuk mengamalkan ilmu pengetahuan, teknologi, dan seni. Kegiatan ini dapat menjadi motivator dan fasilitator dari usaha pembangunan terutama di daerah pedesaan. Masyarakat desa Munungkerep dapat berbagi permasalahan yang ada dan mencari solusi dengan partisipasi peserta KKM-Tematik, terjalin kerjasama dalam proses pembangunan di daerah setempat. Adapun tujuan atau target diharapkan dapat tercapai adalah: (a) Meningkatkan kemampuan berpramuka bagi siswa SD khususnya kelas 4, 5, 6; (b) pelatihan ekstraklikuler menari pada siswa PAUD Nusa Indah; (c) Pelatihan kerajinan hasil olah kelobot jagung untuk menaikkan nilai jual; dan (d) melatih anggota karang taruna agar bisa mengembangkan usaha industri rumah tangga dengan memanfaatkan sumber daya yang ada di sekitarnya. Metode pelaksanaan kegiatan KKN-Tematik dilakukan dalam bentuk sosialisasi dan pelatihan-pelatihan dengan melibatkan pemerintah dan masyarakat secara langsung. Beberapa hasil yang dicapai dari kegiatan ini adalah meningkatkan ketrampilan siswa PAUD dan SD dalam bidang seni dan pramuka, menambah ketrampilan bagi masyarakat untuk mengolah produk hasil lokal pedesaan, tumbuhnya jiwa kewirausahaan di lingkungan karang taruna desa.
Heroes' Day is one of important days for Indonesia, is a day that commemorates one of the most important historical events, especially for the Indonesian people. The independence of the threatened Indonesian nation could be defended by heroes who sacrificed their lives against the invaders, where the incident coincided on November 10, 1945. but there are still many young people today who still do not understand the importance of their hero's struggle on that day, and consider Heroes' Day an ordinary holiday. The serious game is one of the game genres that is commonly used to provide learning about a topic by using games as learning media. By utilizing games as learning media, it will be easier for youth to understand the events of November 10 directly. The game is designed as a first-person shooter game developed using Unity with players playing the role of fighters against invaders on November 10, 1945. After playing, players will be given a series of questionnaires that contain events that occurred in the game and provide value to the game application. from the results of the questionnaire, the value obtained from the questionnaire was 69 and the value of the aspects of the game was 3.37.
Parkinson's disease is a progressive and relatively common neurodegenerative disorder in the central nervous system where sufferers can have difficulty moving. This disease has a high mortality rate in the world of around 9.3 million in 2021. Meanwhile, in Indonesia, it is estimated that as many as 12,980 people die every year due to Parkinson's cases. This increase in cases of death is due to the lack of information about the initial symptoms and dangers of the disease, besides it is important to know how to prevent it early. Early detection of Parkinson's disease can prevent symptoms of a certain age thereby increasing life expectancy. The existence of a computer-based system for diagnosing Parkinson's disease is called a classification system where the system applies the Machine Learning method. This study aims to compare the performance of algorithms in the classification system of people with computer diseases. In this study, it used methods in Machine Learning such as K-NN, Multi Layer Percepteron (MLP), Linear Regression and Support Vector Machine (SVM). The data set in this study was obtained using the Weka application. The dataset used was Parkinson's Disease data totaling 195 rows of data taken from the UCI Machine Learning Repository Datasets. The results of the experiment based on the four algorithms showed that the poor performance was the Multi Layer Percepteron approach to regression data with an RSME value of 0.459. Meanwhile, the k-Neural Network Algorithm is a good classification technique forParkinson's problem with an RMSE value of 0.1895.
As the number of human populations increases and the economy becomes more advanced, people's awareness of health increases. This can increase the number of patient visits if the community will visit for treatment, therefore it is necessary to pay special attention from the health center to carry out readiness in the fulfillment of facilities and service support equipment, such as services in the outpatient registration place where registration documents must be adjusted to the number of existing patients, if the documents are lacking or have not been made, there can be long queues or accumulation of patients which leads to inadequate service. For this reason, the public health center must carry out careful planning activities, one of which is by conducting forecasting activities in order to overcome these problems.This study compares the best method among the 2 time series methods, then the forecasting results will be compared with the actual data to find which forecasting is the best.The final results showed the MAPE value of the arima method for Direct Patient Visits data was worth 22.55% while the Referral Patient Visits were valued at 47.40% with the Moderate/Feasible category, the Holwinters method for Direct Patient Visits data was worth 7.90% while the Referral Patient Visits were worth 11.90% with the excellent category.can be said that the smallest error value is Holtwinters from Direct Patient Visit data with MAPE 7.90% and from Referral Patient Visit data with MAPE 11.90%. Which is where it is said to be an excellent forecasting category
Segmentasi pelanggan sangat penting bagi setiap bisnis untuk lebih memahami pelanggan mereka, untuk menjaga kepuasan pelanggan, dan untuk mengembangkan produk dan layanan kebutuhan. Tujuan segmentasi pelanggan adalah untuk menentukan bagaimana menangani pelanggan di setiap kategori untuk meningkatkan keuntungan setiap pelanggan untuk bisnis. Distributor xyz semarang merupakan perusahaan multi cabang yang bergerak di bidang penjualan produk ritel konsumtif untuk melayani pelanggan dengan skala usaha kecil(eceran) sampai besar(grosir). Database yang digunakan pada penelitian ini diambil dari salah satu cabang dengan periode transaksi 2 tahun. Tujuan dari penelitian ini adalah untuk membangun model segmentasi pelanggan berdasarkan demografi pelanggan serta perilaku transaksi dan untuk membantu bisnis lebih memahami pelanggannya guna mendukung strategi pemasaran. Model segmentasi yang diusulkan adalah mengenai data demografi pelanggan mengenai Recency, Frequency, and Monetary (RFM) yang dihasilkan dari perilaku pembelian, pelanggan telah disegmentasi menggunakan teknik pengelompokan K-means ke dalam berbagai kelompok berdasarkan kesamaan mereka, dan profil untuk setiap kelompok diidentifikasi berdasarkan karakteristiknya. Dengan demikian, perusahaan dapat mengetahui perilaku dari pelanggan dari hasil pengelompokkan berdasarkan seberapa banyak nilai belanjanya, seberapa sering melakukan pembelian serta produk apa yang menjadi perhatian belanjanya dimana hal ini dapat dijadikan dasar evaluasi untuk strategi pemasaran dan analisis lebih lanjut
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